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A high-level machine learning and deep learning library for the PHP language.
PHP 1.7k 135
A library and extension that provides objects for scientific computing in PHP.
PHP 145 17
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
PHP 27 8
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
PHP 69 9
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
PHP 40 17
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
PHP 19 10
Detect unhappy customers with Naive Bayes and 19 categorical features.
Digital signatures made by humans.
Experimental features for the Rubix ML library.
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
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